Operation scheme determination method and device, medium, electronic equipment and product
By using job prediction models and environmental data in safety engineering technology and dynamically adjusting the work plan, the problem of difficulty in determining the work plan in the dynamic environment is solved and the operation safety is improved.
Patent Information
- Application Number
- CN202510130385.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-05
- Publication Date
- 2025-06-27
AI Technical Summary
The existing safety engineering technology cannot determine the appropriate operating plan in a dynamic or unpredictable environment, resulting in high safety risks in the operation process.
By obtaining the environment data of the job area, including static environment data, historical dynamic environment data and current dynamic environment data, the static and historical dynamic environment data are input into the pre-trained job prediction model to obtain the job plan to be used, and the target job plan is determined based on the current dynamic environment data.
It realizes dynamic adjustment of the operation plan based on the current dynamic environment data, and timely determines the target operation plan that is suitable for the current environment, thereby improving the safety of the operation process.
Smart Images
Figure CN120218640A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of engineering technology, and in particular, to a method, device, medium, electronic equipment and product for determining an operation plan. Background Art
[0002] Safety engineering technology has a far-reaching impact on social security. It can prevent and reduce production safety accidents and ensure the safety of production and life. The application of safety engineering technology is widespread in various industries, such as petroleum, chemical, mining, construction, transportation, etc. It ensures the safety and controllability of the production process through technical means such as monitoring, early warning, and emergency rescue. For example, in the construction industry, safety engineering technology uses equipment such as smart safety helmets and safety ropes to monitor the physiological state of workers in real time and issue alarms. However, the current safety engineering technology cannot determine the appropriate operation plan in a dynamic or unpredictable environment in a timely manner, which makes the operation process still have high safety risks. Summary of the invention
[0003] In order to overcome the problems existing in the related art, the present disclosure provides a method, device, medium, electronic device and product for determining an operation plan.
[0004] According to a first aspect of an embodiment of the present disclosure, a method for determining an operation plan is provided, the method comprising: Acquiring environmental data of the work area, the environmental data including static environmental data, historical dynamic environmental data, and current dynamic environmental data; Inputting the static environment data and the historical dynamic environment data into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions; According to the current dynamic environment data, a target operation scheme is determined from one or more standby operation schemes.
[0005] Optionally, the training process of the job prediction model includes: Acquire a plurality of sample data, wherein the sample data includes environmental sample data and operation plan annotation data, wherein the environmental sample data includes a plurality of types of static sample environmental data and a plurality of types of dynamic sample environmental data; The preset initial model is trained using the plurality of environmental sample data as training data to obtain an operation prediction model.
[0006] Optionally, the step of inputting the static environment data and the historical dynamic environment data into a pre-trained job prediction model to obtain one or more job solutions to be used includes: Building a physical model of the work area according to the static environment data; Determine the target environmental data to be used based on the historical dynamic environmental data and the physical model; Input the target environmental data into a pre-trained job prediction model to obtain one or more job plans to be used.
[0007] Optionally, among the multiple job plans to be used, there are job plans corresponding to various different dynamic environmental data to be used. Determining a target job plan from one or more job plans to be used according to the current dynamic environmental data includes: When it is determined that the current dynamic environmental data matches the dynamic environmental data to be used in one or more job plans to be used, use the job plan to be used corresponding to the dynamic environmental data to be used as the target job plan.
[0008] Optionally, after determining a target job plan from one or more job plans to be used according to the current dynamic environmental data, the method further includes: Obtain target dynamic environmental data and feedback data, where the feedback data is used to characterize the safety status of the operator; Determine an optimized job plan according to the target dynamic environmental data and / or the feedback data; Use the optimized job plan as the updated target job plan.
[0009] Optionally, among the multiple job plans to be used, there are job plans corresponding to various different dynamic environmental data to be used. Determining an optimized job plan according to the target dynamic environmental data includes: When it is determined that the target dynamic environmental data is inconsistent with the current dynamic environmental data, determine the dynamic environmental data to be used corresponding to the target dynamic environmental data from one or more job plans to be used, and use the job plan to be used corresponding to the dynamic environmental data to be used as the optimized job plan.
[0010] Optionally, determining an optimized job plan according to the feedback data includes: Obtain the preset standard range of the feedback data; When it is determined that the feedback data exceeds the standard range, use the preset emergency job plan as the optimized job plan.
[0011] Optionally, determining an optimized job plan according to the target dynamic environmental data and the feedback data includes: When it is determined that the feedback data exceeds the preset standard range, if it is determined that the preset emergency job plan is completed, use the job plan to be used corresponding to the target dynamic environmental data as the optimized job plan.
[0012] According to a second aspect of an embodiment of the present disclosure, a device for determining a work plan is provided, the device comprising: A first acquisition module is used to acquire environmental data of the work area, wherein the environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data; A prediction module, configured to input the static environment data and the historical dynamic environment data into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions; The first determination module is used to determine a target operation scheme from one or more standby operation schemes according to the current dynamic environment data.
[0013] Optionally, the prediction module is also used to obtain multiple sample data, the sample data including environmental sample data and operation plan annotation data, the environmental sample data including multiple types of static sample environmental data and multiple types of dynamic sample environmental data; using the multiple environmental sample data as training data, the preset initial model is trained to obtain an operation prediction model.
[0014] Optionally, the prediction module is also used to build a physical model of the work area based on the static environmental data; determine the target environmental data to be used based on the historical dynamic environmental data and the physical model; and input the target environmental data into a pre-trained work prediction model to obtain one or more stand-by work plans.
[0015] Optionally, the plurality of standby operation schemes include operation schemes corresponding to a plurality of different standby dynamic environment data; The first determination module is further configured to, when it is determined that the current dynamic environment data matches the standby dynamic environment data in one or more standby operation plans, use the standby operation plan corresponding to the standby dynamic environment data as the target operation plan.
[0016] Optionally, the device further comprises: A second acquisition module is used to acquire target dynamic environment data and feedback data, wherein the feedback data is used to characterize the safety status of the operator; A second determination module determines an optimization operation plan according to the target dynamic environment data and / or the feedback data; An updating module uses the optimized operation plan as the updated target operation plan.
[0017] Optionally, the plurality of standby operation schemes include operation schemes corresponding to a plurality of different standby dynamic environment data; The second determination module is further configured to, when determining that the target dynamic environment data is inconsistent with the current dynamic environment data, determine standby dynamic environment data corresponding to the target dynamic environment data from one or more of the standby job plans, and use the standby job plan corresponding to the standby dynamic environment data as the optimized job plan.
[0018] Optionally, the second determination module is further configured to obtain a preset standard range of the feedback data; and when determining that the feedback data exceeds the standard range, use a preset emergency job plan as the optimized job plan.
[0019] Optionally, the second determination module is further configured to, when determining that the feedback data exceeds a preset standard range, if it is determined that a preset emergency job plan is completed, use the standby job plan corresponding to the target dynamic environment data as the optimized job plan.
[0020] According to a third aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method according to any one of the first aspects are implemented.
[0021] According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic device, including: a memory, on which a computer program is stored; a processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of the first aspects.
[0022] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the first aspects are implemented.
[0023] In the above technical solution, by obtaining environmental data of a work area, the environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data; inputting the static environmental data and the historical dynamic environmental data into a pre-trained job prediction model to obtain one or more standby job plans, the standby job plan includes one or more job instructions; and determining a target job plan from one or more standby job plans according to the current dynamic environmental data. In this way, by the pre-trained job prediction model and the current dynamic environmental data, the target job plan is determined, and the target job plan can be dynamically adjusted according to the current dynamic environmental data, and the target job plan adapted to the current dynamic environmental data can be determined in a timely manner, thereby effectively improving the safety of the job process.
[0024] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation section. Description of the Drawings
[0025] The drawings are used to provide a further understanding of the present disclosure and form a part of the specification. Together with the following detailed implementation manners, they are used to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the drawings: Figure 1 is a flowchart of a method for determining an operation plan shown according to an exemplary embodiment; Figure 2 is according to Figure 1 is a flowchart of a training process of an operation prediction model shown according to the illustrated embodiment; Figure 3 is according to Figure 1 is a flowchart of another method for determining an operation plan shown according to the illustrated embodiment; Figure 4 is according to Figure 1 is a flowchart of yet another method for determining an operation plan shown according to the illustrated embodiment; Figure 5 is according to Figure 4 is a flowchart of a method for determining an operation plan shown according to the illustrated embodiment; Figure 6 is a block diagram of a device for determining an operation plan shown according to an exemplary embodiment; Figure 7 is a block diagram of an electronic device shown according to an exemplary embodiment. Detailed Implementation Manner
[0026] The following details the specific implementation manners of the present disclosure in conjunction with the drawings. It should be understood that the specific implementation manners described herein are only used to illustrate and explain the present disclosure, and are not used to limit the present disclosure.
[0027] Before introducing the specific embodiments of the present disclosure in detail, the application scenarios of the present disclosure are first described as follows. The present disclosure can be applied to the application scenarios of safety engineering operations. The application of safety engineering technology is widespread in various industries, such as petroleum, chemical industry, mining, construction, transportation, etc. It can ensure the safety and controllability of the production process through technical means such as monitoring, early warning, emergency rescue, etc. For example, in the construction industry, safety engineering technology monitors the physiological state of workers in real time through equipment such as smart safety helmets and safety ropes, and issues alarms in time. However, the current safety engineering technology cannot determine the appropriate operation plan in a dynamic or unpredictable environment in a timely manner, so that the operation process still has problems such as low operation efficiency and high safety risks. In the prior art, the operating area is usually detected before the operation, and the equipment such as safety ropes and safety helmets are used to protect the operators during the operation. However, these methods belong to protective measures during the operation process. In a dynamic or unpredictable environment, it is impossible to determine the appropriate operation plan in a timely manner, which will increase the possibility of safety accidents.
[0028] In order to solve the above technical problems, the present disclosure provides a method for determining an operation plan, by acquiring environmental data of the operation area, the environmental data including static environmental data, historical dynamic environmental data, and current dynamic environmental data; inputting the static environmental data and the historical dynamic environmental data into a pre-trained operation prediction model to obtain one or more standby operation plans, the standby operation plans including one or more operation instructions; and determining a target operation plan from one or more standby operation plans according to the current dynamic environmental data. In this way, the target operation plan is determined by the pre-trained operation prediction model and the current dynamic environmental data, and the target operation plan can be dynamically adjusted according to the current dynamic environmental data, and the target operation plan that is compatible with the current dynamic environmental data can be determined in a timely manner, thereby effectively improving the safety of the operation process.
[0029] The specific implementation of the present disclosure will be described in detail below with reference to the specific drawings.
[0030] Figure 1 is a flow chart of a method for determining a work plan according to an exemplary embodiment. Figure 1 As shown, the method comprises the following steps: Step 101, obtaining environmental data of the work area.
[0031] The environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data.
[0032] In this step, the static environmental data is used to characterize the environmental conditions that remain unchanged during the operation planning and operation process, wherein the environmental conditions that remain unchanged during the operation process, for example: the static environmental data can be environmental data such as topography, building layout, power lines and pipeline distribution. The environmental conditions that remain unchanged in the operation planning, for example: the operation planning is boiler maintenance, the static environmental data can be the internal structure of the boiler, the fixed position of the safety valve and pressure gauge, the material type of the boiler and its accessories, the size and layout of the space where the boiler is located, and other environmental data. The dynamic environmental data is used to characterize the environmental conditions that change dynamically during the operation process, and the environmental characteristics that can change with time and conditions. For example, the dynamic environmental data can be environmental data such as real-time weather conditions (temperature, humidity, wind speed and direction, etc.), communication status, environmental monitoring data (air quality, pollutant concentration, groundwater level and water quality, etc.).
[0033] It should be noted that the environmental data of the work area can be collected through various sensor devices such as drones, satellite remote sensing and ground sensors. Among them, the historical dynamic environmental data includes the historical dynamic environmental data of the work area collected by various sensor devices such as drones, satellite remote sensing, ground sensors, etc. and the historical dynamic environmental data detected by humans.
[0034] Step 102: input the static environment data and the historical dynamic environment data into a pre-trained job prediction model to obtain one or more standby job solutions, wherein the standby job solutions include one or more job instructions.
[0035] The operation instructions are used to instruct operators to perform operations according to predetermined steps.
[0036] In this step, one of the standby operation plans may include an operation plan corresponding to a dynamic environment data. When the operation environment is relatively simple, or a specific type of dynamic environment data has a significant impact on the operation, a standby operation plan can be used to specifically deal with this type of dynamic environment data. For example: if the operation process is greatly affected by the weather (such as outdoor construction or agricultural operations), a set of standby operation plans can be designed to deal with different weather conditions, such as sunny days, rainy days, strong winds, etc.
[0037] One of the standby operation plans may include multiple dynamic environmental data and an operation plan corresponding to the multiple dynamic environmental data. In a complex and changeable operating environment, it is necessary to consider multiple dynamic environmental data at the same time to formulate a more comprehensive and flexible standby operation plan. For example, in a factory, the standby operation plan may need to consider multiple dynamic environmental data at the same time, such as the real-time status of the production line (equipment operation, maintenance requirements), raw material inventory, order demand changes, and employee location information.
[0038] Step 103: Determine a target job plan from one or more standby job plans according to the current dynamic environment data.
[0039] Determining a target job plan from one or more standby job plans according to the current dynamic environment data may include: when there is one type of the current dynamic environment data, if it is determined that the current dynamic environment data matches one type of the standby dynamic environment data in one or more standby job plans, using the standby job plan corresponding to the standby dynamic environment data as the target job plan.
[0040] Determining a target job plan from one or more standby job plans according to the current dynamic environment data may also include: when there are multiple types of the current dynamic environment data, if it is determined that multiple types of the current dynamic environment data all match multiple types of the standby dynamic environment data in one or more standby job plans, using the standby job plans corresponding to the multiple types of the standby dynamic environment data that all match the multiple types of the current dynamic environment data as the target job plans.
[0041] The above technical solution determines a target job plan through a pre-trained job prediction model and the current dynamic environment data, can dynamically adjust the target job plan according to the current dynamic environment data, and timely determine a target job plan adapted to the current dynamic environment data, so as to achieve an efficient, safe and automated job process, and effectively improve the safety and efficiency of the job process.
[0042] Figure 2 It is based on Figure 1 The flowchart of a job prediction model training process shown in the illustrated embodiment is as Figure 2 shown, and the training process of the job prediction model includes: S11: Obtain a plurality of sample data.
[0043] Among them, the sample data includes environmental sample data and job plan annotation data, and the environmental sample data includes multiple types of static sample environment data and multiple types of dynamic sample environment data.
[0044] In this step, the static sample environmental data is used to characterize the environmental conditions that remain unchanged during the operation planning and operation process, wherein the environmental conditions that remain unchanged during the operation process, for example: the static sample environmental data can be environmental data such as topography, building layout, power lines and pipeline distribution. The environmental conditions that remain unchanged in the operation planning, for example: the operation planning is boiler maintenance, the static sample environmental data can be the internal structure of the boiler, the fixed position of the safety valve and pressure gauge, the material type of the boiler and its accessories, the size and layout of the space where the boiler is located, and other environmental data. The dynamic sample environmental data is used to characterize the environmental conditions that change dynamically during the operation process, and the environmental characteristics that can change with time and conditions. For example, the dynamic sample environmental data can be environmental data such as real-time weather conditions (temperature, humidity, wind speed and direction, etc.), communication status, environmental monitoring data (air quality, pollutant concentration, groundwater level and water quality, etc.).
[0045] S12, using the plurality of environmental sample data as training data, performing model training on a preset initial model to obtain a job prediction model.
[0046] Among them, the preset initial model is a deep learning model, such as Transformer (Transformer Network) or LSTM (Long Short-Term Memory).
[0047] In this step, multiple types of static sample environment data and multiple types of dynamic sample environment data, as well as the operation plan annotation data are used as training sets to train the preset initial model. The parameters of the preset initial model include adjustment parameters. During the training process, the preset initial model continuously optimizes its own weights and parameters to determine how to generate an operation plan based on multiple types of static sample environment data and multiple types of dynamic sample environment data to generate the operation prediction model.
[0048] It should be noted that the adjustment parameters are used to adjust and optimize the process of the operation plan according to the input of multiple types of static sample environment data and multiple types of dynamic sample environment data. In addition, the setting of the adjustment parameters can include multiple methods, including manual setting method: the user manually sets according to experience and needs; automatic optimization method: the operation prediction model automatically adjusts and optimizes during training and use; and a hybrid parallel method combining manual setting and automatic optimization can also be used to adjust and optimize the adjustment parameters.
[0049] The above technical solution obtains a job prediction model based on multiple sample data and trains a preset initial model, providing data support for the subsequent generation of standby job plans.
[0050] Figure 3 is based on Figure 1 The embodiment shown is a flowchart of another method for determining a work plan, as shown in FIG. Figure 3 As shown, in Figure 1 In step 102, the static environment data and the historical dynamic environment data are input into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions, which may include: Step 1021, building a physical model of the work area according to the static environment data.
[0051] The physical model may be a three-dimensional model or a two-dimensional model. In this step, the physical model is used to visualize and understand the layout and structure of the work area, providing a basis for subsequent historical dynamic environmental data processing and work planning. The physical model can be determined to be a three-dimensional model or a two-dimensional model according to the environment of the work area. The three-dimensional model can provide a spatial stereoscopic view of the work area. When operations need to be performed in a fine space (such as construction or mining), the physical model is a three-dimensional model; the two-dimensional model can provide a planar layout of the work area, which is suitable for scenarios that do not require three-dimensional information, such as farmland management, logistics warehousing layout, etc.
[0052] Step 1022: Determine target environmental data to be used based on the historical dynamic environmental data and the physical model.
[0053] The historical dynamic environmental data is used to characterize the dynamically changing environmental conditions during the operation in the operation area over the past period of time, and is used to characterize the recurring patterns in the operation area. The target environmental data to be used is the data after the historical dynamic environmental data is analyzed and processed by the physical model, and can be used to reflect the dynamic change trend of the operation area. The historical dynamic environmental data is input into the physical model as a historical reference for the operation of the physical model, and the historical dynamic environment is simulated by the physical model to determine the patterns and trends in the historical dynamic environmental data, and the changes in the dynamic environmental data are predicted based on the patterns and trends in the historical dynamic environmental data, and the predicted dynamic environmental data are used as the target environmental data. In this step, the current or future environmental status of the work area is analyzed and predicted through historical dynamic environmental data and the established physical model, and the target environmental data to be used is generated.
[0054] Step 1023, input the target environment data into a pre-trained job prediction model to obtain one or more ready-to-use job solutions.
[0055] Based on the above technical solution, by using the physical model, the historical dynamic environment data, and the pre-trained job prediction model to determine the to-be-used job plan, it is possible to visualize the layout and operation path of the job area by building a physical model, and formulate the to-be-used job plan in combination with the historical dynamic environment data and the job prediction model, thus realizing intelligent and automated job planning.
[0056] Optionally, when multiple to-be-used job plans include job plans corresponding to various different to-be-used dynamic environment data, Figure 1 Step 103 of determining the target job plan from one or more to-be-used job plans according to the current dynamic environment data may include: When it is determined that the current dynamic environment data matches the to-be-used dynamic environment data in one or more to-be-used job plans, the to-be-used job plan corresponding to the to-be-used dynamic environment data is used as the target job plan.
[0057] In this step, when it is determined that the current dynamic environment data matches the to-be-used dynamic environment data in one or more to-be-used job plans, using the to-be-used job plan corresponding to the to-be-used dynamic environment data as the target job plan may include: when there is one type of the current dynamic environment data, if it is determined that the current dynamic environment data matches the to-be-used dynamic environment data of this type in one or more to-be-used job plans, the to-be-used job plan corresponding to the to-be-used dynamic environment data is used as the target job plan.
[0058] When it is determined that the current dynamic environment data matches the to-be-used dynamic environment data in one or more to-be-used job plans, using the to-be-used job plan corresponding to the to-be-used dynamic environment data as the target job plan may include: when the current dynamic environment data includes multiple types, if it is determined that each type of the current dynamic environment data matches the to-be-used dynamic environment data of this type in one or more to-be-used job plans, the to-be-used job plan corresponding to the to-be-used dynamic environment data of each type of the current dynamic environment data in one or more to-be-used job plans is used as the target job plan.
[0059] Based on the above technical solution, determining the target job plan from one or more to-be-used job plans according to the current dynamic environment data can dynamically adjust the target job plan according to the current dynamic environment data, and timely determine the target job plan adapted to the current dynamic environment data, thereby effectively improving the safety of the job process.
[0060] Figure 4 is according to Figure 1The flowchart of yet another operation plan determination method shown in the illustrated embodiment is as follows. Figure 4 As shown in Figure 1 after determining the target operation plan from one or more candidate operation plans according to the current dynamic environment data described in step 103, the operation plan determination method may further include: Step 104, obtaining target dynamic environment data and feedback data.
[0061] Wherein, the feedback data is used to characterize the safety status of the operator.
[0062] In this step, the target dynamic environment data is the current dynamic environment data collected in real time or near real time after determining the target operation plan, and is used to characterize the current dynamically changing environmental conditions in the operation area. By way of example, the target dynamic environment data may be real-time weather information (temperature, humidity, wind speed, precipitation, etc.) for evaluating the impact of weather conditions on the operation; the target dynamic environment data may be the operating status of mechanical equipment in operation (such as temperature, vibration, oil pressure, etc.) for preventing equipment failures. The feedback data is the current safety status information of the operator collected in real time or near real time after determining the target operation plan, and is used to characterize the health and safety of monitoring the operator. By way of example, the feedback data may be the status of personal protective equipment to ensure that personal protective equipment (such as helmets, goggles, and respirators, etc.) is in good working condition. The feedback data may be biometric data (physiological indicators such as heart rate, blood pressure, body temperature, etc.) for monitoring the physical condition of the operator.
[0063] Step 105, determining an optimized operation plan according to the target dynamic environment data and / or the feedback data.
[0064] In one implementation manner, determining an optimized operation plan according to the target dynamic environment data and / or the feedback data may include: determining an optimized operation plan according to the target dynamic environment data. By way of example, in the case where it is determined that the target dynamic environment data is inconsistent with the current dynamic environment data, determining the candidate dynamic environment data corresponding to the target dynamic environment data from one or more of the candidate operation plans, and using the candidate operation plan corresponding to the candidate dynamic environment data as the optimized operation plan.
[0065] In another implementation manner, determining an optimized operation plan according to the target dynamic environment data and / or the feedback data may include: determining an optimized operation plan according to the feedback data. By way of example, obtaining the preset standard range of the feedback data; in the case where it is determined that the feedback data exceeds the standard range, using the preset emergency operation plan as the optimized operation plan.
[0066] In yet another embodiment, determining an optimized operation plan based on the target dynamic environment data and / or the feedback data may include: determining an optimized operation plan based on the target dynamic environment data and the feedback data. For example, in the case where it is determined that the feedback data exceeds a preset standard range, if it is determined that a preset emergency operation plan is completed, the standby operation plan corresponding to the target dynamic environment data is used as the optimized operation plan.
[0067] Step 106, use the optimized operation plan as the updated target operation plan.
[0068] The above technical solution determines an optimized operation plan based on the target dynamic environment data and / or the feedback data and updates the target operation plan, which can dynamically update the target operation plan according to the target dynamic environment data obtained in real time, and timely determine an optimized operation plan suitable for the target dynamic environment data obtained in real time, so as to achieve an efficient, safe and automated operation process, and effectively improve the safety and operation efficiency of the operation process.
[0069] Optionally, in the case where multiple standby operation plans include operation plans corresponding to various different standby dynamic environment data, Figure 4 Determining an optimized operation plan based on the target dynamic environment data in Step 105 may include: In the case where it is determined that the target dynamic environment data is inconsistent with the current dynamic environment data, determine the standby dynamic environment data corresponding to the target dynamic environment data from one or more standby operation plans, and use the standby operation plan corresponding to the standby dynamic environment data as the optimized operation plan.
[0070] The above technical solution determines an optimized operation plan based on the target dynamic environment data and updates the target operation plan, which can dynamically update the target operation plan according to the target dynamic environment data obtained in real time, and timely determine an optimized operation plan suitable for the target dynamic environment data obtained in real time, so as to achieve an efficient, safe and automated operation process, and effectively improve the safety and operation efficiency of the operation process.
[0071] Figure 5 is based on Figure 4 a flowchart of a method for determining an operation plan shown in the illustrated embodiment, as Figure 5 shown, Figure 4 Determining an optimized operation plan based on the feedback data in Step 105 may include: Step 1051, obtain the preset standard range of the feedback data.
[0072] Wherein, the feedback data is used to characterize the safety status of the operator.
[0073] In this step, the preset standard range refers to the normal operating range set for the feedback data based on historical data, industry standards, characteristics of the operating environment, and safety specifications. The preset standard range can help identify when the operating conditions become abnormal or unsafe.
[0074] Step 1052, in the case where it is determined that the feedback data exceeds the standard range, use the preset emergency operation plan as the optimized operation plan.
[0075] In this step, when the feedback data exceeds the preset standard range, the emergency operation plan is activated to quickly respond to potential emergencies. The emergency plan may include: immediately stop the operation: if the situation endangers the safety of personnel, immediately suspend the operation and evacuate the personnel; equipment maintenance or replacement: when the equipment parameters are abnormal, start the maintenance procedure or switch to the standby equipment; emergency response measures: start emergency response procedures such as fire fighting, medical treatment, or pollution control; personnel evacuation and safety assembly: organize personnel to evacuate to a safe area in an orderly manner; communication and reporting: communicate with relevant departments or external agencies to report the emergency situation.
[0076] The above technical solution determines the optimized operation plan according to the feedback data and updates the target operation plan, can dynamically update the target operation plan according to the feedback data of the operating personnel obtained in real time, and can, in the case where it is determined that the feedback data exceeds the standard range, timely use the preset emergency operation plan as the optimized operation plan, thereby effectively ensuring the safety of the operating personnel.
[0077] Optionally, Figure 4 Determining the optimized operation plan according to the target dynamic environment data and the feedback data in Step 105 may include: In the case where it is determined that the feedback data exceeds the preset standard range, if it is determined that the preset emergency operation plan is completed, use the standby operation plan corresponding to the target dynamic environment data as the optimized operation plan.
[0078] In this step, after the emergency operation plan is executed, it is necessary to re-evaluate the operating conditions, which may include: checking the feedback data again: determining that the feedback data is within the preset standard range, that is, the abnormal situation has been properly handled; re-real-time collecting the target dynamic environment data of the operation area, and based on the latest target dynamic environment data, in the case where the target dynamic environment conditions change, select the standby operation plan that is most suitable for the current target dynamic environment data from the standby operation plans as the optimized operation plan.
[0079] The above technical scheme, when it is determined that the abnormal situation existing in the working area has been eliminated, updates the target working plan according to the target dynamic environment data, determines the optimized working plan, and can determine the optimized working plan in time, thereby realizing an efficient, safe and automated working process, and effectively improving the safety and efficiency of the working process.
[0080] Figure 6 is a block diagram of a device for determining a work plan according to an exemplary embodiment; see Figure 6 , the operation plan determination device 600 may include: A first acquisition module 601 is used to acquire environmental data of the work area, wherein the environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data; A prediction module 602, configured to input the static environment data and the historical dynamic environment data into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions; The first determination module 603 is used to determine a target operation scheme from one or more standby operation schemes according to the current dynamic environment data.
[0081] The above technical solution obtains environmental data of the operation area, the environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data; inputs the static environmental data and the historical dynamic environmental data into a pre-trained operation prediction model to obtain one or more standby operation plans, the standby operation plans include one or more operation instructions; and determines the target operation plan from the one or more standby operation plans according to the current dynamic environmental data. In this way, the target operation plan is determined by the pre-trained operation prediction model and the current dynamic environmental data, and the target operation plan can be dynamically adjusted according to the current dynamic environmental data, and the target operation plan that is compatible with the current dynamic environmental data can be determined in a timely manner, thereby effectively improving the safety of the operation process.
[0082] Optionally, the training process of the job prediction model includes: Acquire a plurality of sample data, wherein the sample data includes environmental sample data and operation plan annotation data, wherein the environmental sample data includes a plurality of types of static sample environmental data and a plurality of types of dynamic sample environmental data; The preset initial model is trained using the plurality of environmental sample data as training data to obtain an operation prediction model.
[0083] Optionally, the prediction module is further configured to build a physical model of the work area based on the static environment data; determine target environment data to be used based on the historical dynamic environment data and the physical model; and input the target environment data into a pre-trained job prediction model to obtain one or more job plans to be used.
[0084] Optionally, among the multiple job plans to be used, there are job plans corresponding to various different dynamic environment data to be used; The first determination module 603 is further configured to, when determining that the current dynamic environment data matches the dynamic environment data to be used in one or more job plans to be used, use the job plan to be used corresponding to the dynamic environment data to be used as the target job plan.
[0085] Optionally, the device further includes: A second acquisition module 604, configured to acquire target dynamic environment data and feedback data, where the feedback data is used to characterize the safety status of the operator; A second determination module 605, configured to determine an optimized job plan according to the target dynamic environment data and / or the feedback data; An update module 606, configured to use the optimized job plan as the updated target job plan.
[0086] Optionally, among the multiple job plans to be used, there are job plans corresponding to various different dynamic environment data to be used; The second determination module 605 is further configured to, when determining that the target dynamic environment data is inconsistent with the current dynamic environment data, determine the dynamic environment data to be used corresponding to the target dynamic environment data from one or more job plans to be used, and use the job plan to be used corresponding to the dynamic environment data to be used as the optimized job plan.
[0087] Optionally, the second determination module 605 is further configured to obtain a preset standard range of the feedback data; and when determining that the feedback data exceeds the standard range, use a preset emergency job plan as the optimized job plan.
[0088] Optionally, the second determination module 605 is further configured to, when determining that the feedback data exceeds a preset standard range, if it is determined that a preset emergency job plan is completed, use the job plan to be used corresponding to the target dynamic environment data as the optimized job plan.
[0089] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.
[0090] The present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the job solution determination method provided by the present disclosure are implemented.
[0091] Figure 7 is a block diagram of an electronic device 700 shown according to an exemplary embodiment. As Figure 7 shown, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.
[0092] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned job plan determination method. The memory 702 is used to store various types of data to support the operation of the electronic device 700. These data may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, and so on. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. The multimedia component 703 may include a screen and an audio component. Among them, the screen may be a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, and the microphone is used to receive external audio signals. The received audio signals may be further stored in the memory 702 or sent through the communication component 705. The audio component further includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G, etc., or a combination of one or more of them is not limited herein. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.
[0093] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the above-mentioned job plan determination method.
[0094] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the above-mentioned job plan determination method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned job plan determination method.
[0095] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program that can be executed by a programmable device, and the computer program has a code part for executing the above-mentioned job plan determination method when executed by the programmable device.
[0096] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.
[0097] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present disclosure will not separately describe various possible combination methods.
[0098] In addition, any combination can be made between various different embodiments of the present disclosure, as long as it does not violate the idea of the present disclosure, it should also be regarded as the content disclosed by the present disclosure.
Claims
1. A method for determining an operation plan, characterized in that: The method comprises: Acquiring environmental data of the work area, the environmental data including static environmental data, historical dynamic environmental data, and current dynamic environmental data; Inputting the static environment data and the historical dynamic environment data into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions; According to the current dynamic environment data, a target operation scheme is determined from one or more standby operation schemes.
2. The method for determining an operation plan according to claim 1, characterized in that: The training process of the job prediction model includes: Acquire a plurality of sample data, wherein the sample data includes environmental sample data and operation plan annotation data, wherein the environmental sample data includes a plurality of types of static sample environmental data and a plurality of types of dynamic sample environmental data; The preset initial model is trained using the plurality of environmental sample data as training data to obtain an operation prediction model.
3. The method for determining an operation plan according to claim 1, characterized in that: The step of inputting the static environment data and the historical dynamic environment data into a pre-trained job prediction model to obtain one or more job solutions to be used includes: Building a physical model of the work area according to the static environment data; Determine target environmental data to be used according to the historical dynamic environmental data and the physical model; The target environment data is input into a pre-trained operation prediction model to obtain one or more ready-to-use operation solutions.
4. The method for determining an operation plan according to claim 1, characterized in that: The plurality of standby operation schemes include operation schemes corresponding to a plurality of different standby dynamic environment data. According to the current dynamic environment data, a target operation scheme is determined from one or more standby operation schemes, including: When it is determined that the current dynamic environment data matches the standby dynamic environment data in one or more standby operation plans, the standby operation plan corresponding to the standby dynamic environment data is used as the target operation plan.
5. The method for determining an operation plan according to claim 1, characterized in that: After determining the target operation scheme from one or more waiting operation schemes according to the current dynamic environment data, the method further includes: Acquiring target dynamic environment data and feedback data, wherein the feedback data is used to characterize the safety status of the operator; Determining an optimized operation plan according to the target dynamic environment data and / or the feedback data; The optimized operation plan is used as the updated target operation plan.
6. The method for determining an operation plan according to claim 5, characterized in that: The plurality of standby operation schemes include operation schemes corresponding to a plurality of different standby dynamic environment data. According to the target dynamic environment data, an optimized operation scheme is determined, including: When it is determined that the target dynamic environment data is inconsistent with the current dynamic environment data, the standby dynamic environment data corresponding to the target dynamic environment data is determined from one or more of the standby operation plans, and the standby operation plan corresponding to the standby dynamic environment data is used as the optimized operation plan.
7. The method for determining an operation plan according to claim 5, characterized in that: According to the feedback data, an optimization operation plan is determined, including: Acquire a preset standard range of the feedback data; When it is determined that the feedback data exceeds the standard range, a preset emergency operation plan is used as the optimized operation plan.
8. The method for determining an operation plan according to claim 6 or 7, characterized in that: Determining an optimization operation plan according to the target dynamic environment data and the feedback data includes: In the case where it is determined that the feedback data exceeds the preset standard range, if it is determined that the preset emergency operation plan is completed, the standby operation plan corresponding to the target dynamic environment data is used as the optimized operation plan.
9. A device for determining an operation plan, characterized in that: The device comprises: A first acquisition module is used to acquire environmental data of the work area, wherein the environmental data includes static environmental data, historical dynamic environmental data, and current dynamic environmental data; A prediction module, configured to input the static environment data and the historical dynamic environment data into a pre-trained operation prediction model to obtain one or more standby operation plans, wherein the standby operation plans include one or more operation instructions; The first determination module is used to determine a target operation scheme from one or more standby operation schemes according to the current dynamic environment data.
10. The operation plan determination device according to claim 9, characterized in that: The prediction module is also used to obtain multiple sample data, the sample data includes environmental sample data and operation plan annotation data, the environmental sample data includes multiple types of static sample environmental data and multiple types of dynamic sample environmental data; using the multiple environmental sample data as training data, the preset initial model is trained to obtain an operation prediction model.
11. The operation plan determination device according to claim 9, characterized in that: The prediction module is also used to build a physical model of the work area based on the static environmental data; determine the target environmental data to be used based on the historical dynamic environmental data and the physical model; and input the target environmental data into a pre-trained work prediction model to obtain one or more work plans to be used.
12. The operation plan determination device according to claim 9, characterized in that: The plurality of standby operation schemes include a plurality of operation schemes corresponding to different standby dynamic environment data; The first determination module is further configured to, when it is determined that the current dynamic environment data matches the standby dynamic environment data in one or more standby operation plans, use the standby operation plan corresponding to the standby dynamic environment data as the target operation plan.
13. The operation plan determination device according to claim 9, characterized in that: The device also includes: A second acquisition module is used to acquire target dynamic environment data and feedback data, wherein the feedback data is used to characterize the safety status of the operator; A second determination module determines an optimization operation plan according to the target dynamic environment data and / or the feedback data; An updating module uses the optimized operation plan as the updated target operation plan.
14. The operation plan determination device according to claim 13, characterized in that: The plurality of standby operation schemes include a plurality of operation schemes corresponding to different standby dynamic environment data; The second determination module is also used to determine the standby dynamic environment data corresponding to the target dynamic environment data from one or more of the standby operation plans when it is determined that the target dynamic environment data is inconsistent with the current dynamic environment data, and use the standby operation plan corresponding to the standby dynamic environment data as the optimized operation plan.
15. The operation plan determination device according to claim 13, characterized in that: The second determination module is further configured to obtain a preset standard range of the feedback data; and when it is determined that the feedback data exceeds the standard range, use a preset emergency operation plan as the optimized operation plan.
16. The operation plan determination device according to claim 14 or 15, characterized in that: The second determination module is also used to, when it is determined that the feedback data exceeds a preset standard range, use the standby operation plan corresponding to the target dynamic environment data as the optimized operation plan if it is determined that the preset emergency operation plan has been completed.
17. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.
18. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 8.
19. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.